Andy Lee

Papers

Total Citations

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About

Andy Lee is a pioneering researcher in human-robot interaction and assistive robotics, with a focus on developing intuitive control systems for individuals with severe motor impairments. His most-cited work, "The wouse: A wearable wince detector to stop assistive robots" (2012, 6 citations), introduces a novel, low-cost wearable device that detects involuntary facial wincing to halt robotic actions, enhancing safety and user autonomy. This contribution addresses a critical gap in assistive technology, enabling users to command semi-autonomous mobile manipulators for essential self-care tasks like scratching, thereby reducing dependence on caregivers. Lee’s research integrates wearable sensing, machine learning, and robotics to create responsive, user-centered systems. Though his citation count is modest, the conceptual impact of his work is notable, offering a practical solution for real-world applications in disability support. His innovative approach to non-verbal control interfaces underscores a commitment to empowering vulnerable populations through accessible technology, making him a thoughtful voice in the field of assistive robotics.